Unite.AI

MARCH 15, 2024

Nevertheless, addressing the cost-effectiveness of ML models for business is something companies have to do now. For businesses beyond the realms of big tech, developing cost-efficient ML models is more than just a business process — it's a vital survival strategy. Challenging Nvidia, with its nearly $1.5

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ML Deep Learning Neural Network Machine Learning 188

Unite.AI

DECEMBER 1, 2023

Exploring the Techniques of LIME and SHAP Interpretability in machine learning (ML) and deep learning (DL) models helps us see into opaque inner workings of these advanced models. SHAP ( Source ) Both LIME and SHAP have emerged as essential tools in the realm of AI and ML, addressing the critical need for transparency and trustworthiness.

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LLM Machine Learning Explainability Algorithm 261

AWS Machine Learning Blog

MAY 9, 2024

The rapid advancements in artificial intelligence and machine learning (AI/ML) have made these technologies a transformative force across industries. According to a McKinsey study , across the financial services industry (FSI), generative AI is projected to deliver over $400 billion (5%) of industry revenue in productivity benefits.

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ML Generative AI AI AI 123

Unite.AI

JANUARY 24, 2025

Claudionor Coelho is the Chief AI Officer at Zscaler, responsible for leading his team to find new ways to protect data, devices, and users through state-of-the-art applied Machine Learning (ML), Deep Learning and Generative AI techniques. Previously, Coelho was a Vice President and Head of AI Labs at Palo Alto Networks.

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Deep Learning Generative AI AI AI 246

AWS Machine Learning Blog

DECEMBER 4, 2024

Businesses are under pressure to show return on investment (ROI) from AI use cases, whether predictive machine learning (ML) or generative AI. Only 54% of ML prototypes make it to production, and only 5% of generative AI use cases make it to production. Using SageMaker, you can build, train and deploy ML models.

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ML Machine Learning Generative AI AI 85

AI Weekly

OCTOBER 10, 2024

techxplore.com AI meets “blisk” in new DARPA-funded collaboration Collaborative multi-university team will pursue new AI-enhanced design tools and high-throughput testing methods for next-generation turbomachinery. But the technology's impact on the environment is becoming a serious concern. politico.eu

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AI Researcher AI Research Robotics Artificial Intelligence 278

AWS Machine Learning Blog

MARCH 18, 2025

The rise of generative AI has significantly increased the complexity of building, training, and deploying machine learning (ML) models. Builders can use built-in ML tools within SageMaker HyperPod to enhance model performance. This makes AI development more accessible and scalable for organizations of all sizes.

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Machine Learning AI AI ML 101

Flipboard

APRIL 1, 2025

The 2024 Gartner CIO Generative AI Survey highlights three major risks: reasoning errors from hallucinations (59% of respondents), misinformation from bad actors (48%), and privacy concerns (44%). You can use the test playground and input sample questions and answers that represent real user interactions with your LLM.

Automation 165

Automation Generative AI AI AI 165

Marktechpost

FEBRUARY 15, 2025

Researchers evaluated anthropomorphic behaviors in AI systems using a multi-turn framework in which a User LLM interacted with a Target LLM across eight scenarios in four domains: friendship, life coaching, career development, and general planning. Interactions between 1,101 participants and Gemini 1.5

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AI Chatbots Chatbots Conversational AI LLM 84

Marktechpost

MAY 25, 2024

Unlocking the potential of large multimodal language models (MLLMs) to handle diverse modalities like speech, text, image, and video is a crucial step in AI development. Don’t Forget to join our 42k+ ML SubReddit The post Uni-MoE: A Unified Multimodal LLM based on Sparse MoE Architecture appeared first on MarkTechPost.

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LLM ML AI Developer AI Development 128

Marktechpost

JANUARY 6, 2025

Conclusion NVIDIAs Cosmos World Foundation Model Platform offers a practical and robust solution to many of the challenges faced in physical AI development. By combining advanced technology with a user-focused design, Cosmos supports efficient and accurate model development, fostering innovation across various fields.

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AI Developer AI Development AI AI 103

AWS Machine Learning Blog

DECEMBER 5, 2024

Technical standards, such as ISO/IEC 42001, are significant because they provide a common framework for responsible AI development and deployment, fostering trust and interoperability in an increasingly global and AI-driven technological landscape.

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Responsible AI AI Tools AI AI 100

Marktechpost

MARCH 1, 2024

In recent research, the concept of radioactivity in the context of Large Language Models (LLMs) has been discussed, with particular attention to the detectability of texts created by LLMs. Here, radioactivity refers to the detectable residues left in a model that has been refined using information produced by an additional LLM.

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LLM Large Language Models AI AI 111

Marktechpost

OCTOBER 7, 2024

While Autoregressive Large Language Models (LLMs) have excelled in generating coherent and lengthy sequences of tokens in natural language processing, their application in video generation has been limited to short videos of a few seconds. Training a video generation model like Loong involves a unique process. Let’s collaborate!

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LLM Large Language Models Natural Language Processing ML 114

Marktechpost

OCTOBER 8, 2024

Don’t Forget to join our 50k+ ML SubReddit Interested in promoting your company, product, service, or event to over 1 Million AI developers and researchers? The post From Prediction to Reasoning: Evaluating o1’s Impact on LLM Probabilistic Biases appeared first on MarkTechPost. Let’s collaborate!

LLM 116

LLM Large Language Models OpenAI Python 116

Marktechpost

MARCH 11, 2025

This automated evaluation mechanism has enabled more efficient RL training, expanding its feasibility for large-scale AI development. These results underscore RLs effectiveness in refining LLM reasoning capabilities, highlighting its potential for application in complex problem-solving tasks. Check out the Paper.

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LLM Large Language Models Artificial Intelligence Artificial Intelligence 46

Marktechpost

OCTOBER 5, 2024

This model represents a significant advancement in LLM research by seamlessly integrating vision, language, and speech capabilities. The vision encoder captures high-resolution visual features, projecting them into the text embedding space, while the speech encoder transforms speech into discrete units that the LLM can process.

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LLM Large Language Models Artificial Intelligence Artificial Intelligence 107

ODSC - Open Data Science

APRIL 2, 2025

Whether an engineer is cleaning a dataset, building a recommendation engine, or troubleshooting LLM behavior, these cognitive skills form the bedrock of effective AI development. Roles like Data Scientist, ML Engineer, and the emerging LLM Engineer are in high demand. Communication is another often overlooked area.

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Prompt Engineer Prompt Engineering Large Language Models ML Engineer 52

Marktechpost

AUGUST 9, 2024

LiveBench AI’s user-friendly interface allows seamless integration into existing workflows. The platform is designed to be accessible to novice and experienced AI practitioners, making it a versatile tool for many users. LiveBench AI addresses the critical challenges faced by AI developers today.

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LLM Data Scientist Deep Learning AI 111

Unite.AI

SEPTEMBER 13, 2023

Thankfully, there is a way to bypass generative AI’s explainability conundrum – it just requires a bit more control and focus. Generative AI tools make countless connections while traversing from input to output, but to the outside observer, how and why they make any given series of connections remains a mystery.

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Explainability Generative AI AI Tools Algorithm 273

AWS Machine Learning Blog

JULY 10, 2024

By understanding and optimizing each stage of the prompting lifecycle and using techniques like chaining and routing, you can create more powerful, efficient, and effective generative AI solutions. Let’s dive into the new features in Amazon Bedrock and explore how they can help you transform your generative AI development process.

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Generative AI AI Development AI Developer Chatbots 118

Marktechpost

JANUARY 16, 2024

A large team of Researchers from world-class universities, institutions, and labs have introduced a comprehensive framework, TRUST LLM. The TRUST LLM framework aims to establish a benchmark for evaluating these aspects in mainstream LLMs. The TRUST LLM framework offers a nuanced approach to evaluating large language models.

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LLM Large Language Models Natural Language Processing Artificial Intelligence 106

Marktechpost

SEPTEMBER 17, 2024

Comet has unveiled Opik , an open-source platform designed to enhance the observability and evaluation of large language models (LLMs). This tool is tailored for developers and data scientists to monitor, test, and track LLM applications from development to production.

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LLM Large Language Models Data Scientist Automation 103

Marktechpost

OCTOBER 5, 2024

Large Language Models (LLMs) have become integral to numerous AI systems, showcasing remarkable capabilities in various applications. However, as the demand for processing long-context inputs grows, researchers face significant challenges in optimizing LLM performance.

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LLM Algorithm AI AI 102

Marktechpost

MARCH 23, 2025

A team of researchers from Yale University, University of Southern California, Stanford University, and All Hands AI developed LocAgent , a graph-guided agent framework to transform code localization. It offers a scalable, cost-efficient, and effective alternative to proprietary LLM solutions.

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Large Language Models Software Development Automation AI 89

AWS Machine Learning Blog

APRIL 7, 2025

For this post, I use LangChains popular open source LangGraph agent framework to build an agent and show how to enable detailed tracing and evaluation of LangGraph generative AI agents. This evolution positions SageMaker AI with MLflow as a unified platform for both traditional ML and cutting-edge generative AI agent development.

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Generative AI AI AI LLM 57

Marktechpost

AUGUST 2, 2024

However, the deployment of LLMs necessitates robust mechanisms to ensure safe and responsible user interactions. Current practices often employ content moderation solutions like LlamaGuard, WildGuard, and AEGIS to filter LLM inputs and outputs for potential safety risks. If you like our work, you will love our newsletter.

LLM 103

LLM Large Language Models AI AI 103

AWS Machine Learning Blog

MARCH 14, 2025

Finally, metrics such as ROUGE and F1 can be fooled by shallow linguistic similarities (word overlap) between the ground truth and the LLM response, even when the actual meaning is very different. With a strong background in AI/ML, Ishan specializes in building Generative AI solutions that drive business value.

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Generative AI Responsible AI Automation LLM 85

ODSC - Open Data Science

APRIL 1, 2025

Building Multimodal AI Agents: Agentic RAG with Image, Text, and Audio Inputs Suman Debnath, Principal AI/ML Advocate at Amazon Web Services Discover the transformative potential of Multimodal Agentic RAG systems that integrate image, audio, and text to power intelligent, real-world applications.

Neural Network 52

Neural Network LLM Software Engineer AI 52

Marktechpost

DECEMBER 1, 2024

It supports multiple LLM providers, making it compatible with a wide array of hosted and local models, including OpenAI’s models, Anthropic’s Claude, and Google Gemini. This combination of technical depth and usability lowers the barrier for data scientists and ML engineers to generate synthetic data efficiently.

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Python LLM Data Scarcity Data Scientist 88

Marktechpost

MARCH 2, 2024

Vicuna is the LLM for 7/13B versions, while MobileLLaMA is the small language model (SLM) for MobilePALO-1.7B. Join our 38k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and LinkedIn Gr oup. Don’t Forget to join our Telegram Channel You may also like our FREE AI Courses….

AI Development 101

AI Development AI Developer Natural Language Processing AI 101

ODSC - Open Data Science

MARCH 10, 2025

Through practical coding exercises, youll gain the skills to implement Bayesian regression in PyMC, understand when and why to use these methods over traditional GLMs, and develop intuition for model interpretation and uncertainty estimation. Perfect for developers and data scientists looking to push the boundaries of AI-powered assistants.

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Data Scientist Data Science LLM Machine Learning 52

Marktechpost

JANUARY 20, 2025

This creates an ecosystem where open datasets struggle to compete with proprietary models, reducing accountability and slowing progress toward transparent and inclusive AI development. It promotes cross-domain cooperation to responsibly curate, govern, and release these datasets while promoting competition in the LLM ecosystem.

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LLM Metadata Large Language Models Artificial Intelligence 82

AWS Machine Learning Blog

APRIL 4, 2025

Organizations deploying generative AI applications need robust ways to evaluate their performance and reliability. Data ScientistGenerative AI, Amazon Bedrock, where he contributes to cutting edge innovations in foundational models and generative AI applications at AWS.

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Generative AI Metadata Python Data Scientist 99

Unite.AI

AUGUST 27, 2024

With Cerebras Inference, developers can now build next-generation AI applications that require complex, real-time performance, such as AI agents and intelligent systems. Andrew Ng, Founder of DeepLearning.AI, underscored the importance of speed in AI development: “ DeepLearning.AI

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Large Language Models AI AI AI Modeling 246

ODSC - Open Data Science

OCTOBER 24, 2024

Time is running out to get your pass to the can’t-miss technical AI conference of the year. Our incredible lineup of speakers includes world-class experts in AI engineering, AI for robotics, LLMs, machine learning, and much more. Register here before we sell out!

ML 52

ML LLM Data Science Robotics 52

TheSequence

DECEMBER 1, 2024

By focusing on enhancing reasoning through extended processing time, LRMs offer a potential breakthrough in AI development, potentially unlocking new levels of cognitive ability. Inference-time scaling, the technique utilized by both QwQ and GPT-o1, presents a promising alternative.

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LLM OpenAI Large Language Models Generative AI 64